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matplotlib-draw vintage cure for specific field based on the range
Python, Matplotlib, subplot: How to set the axis range?Using seaborn FacetGrid to plot spatial gridsGroup by date in pandas in order to plot categorical distributionswrong y axis range using matplotlib subplots and seabornLegend is not working properly in Pythonpython module import so slow in other IDE but in Spyder it's 20 times fasterPandas DataFrame Slicing issueSeaborn time axis: show date instead of nanosecondsPandas Series not plotting to timeseries chartHow to draw a linear plot with matplotlib using the categorical sklearn boston housing dataset
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I have data set like
date Status
1/8/2018 30+
1/8/2018 20
16/10/2017 31+
1/2/2018 31+
4/7/2018 31+
... 10
3/6/2018 31+
... ....
I want to Create a vintage curve of 31+. how do I draw the curve?
I tried to like this, I know its right way to plot
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
df = pd.read_csv('sample_data.csv')
for i in df['status']:
if i >= 30:
sns.distplot((df['status']),bins=10);
plt.show()
this is what I get output enter image description here, but how do I specify the range.
I am new for data visualization.
Thanks in advance
python matplotlib seaborn
add a comment |
I have data set like
date Status
1/8/2018 30+
1/8/2018 20
16/10/2017 31+
1/2/2018 31+
4/7/2018 31+
... 10
3/6/2018 31+
... ....
I want to Create a vintage curve of 31+. how do I draw the curve?
I tried to like this, I know its right way to plot
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
df = pd.read_csv('sample_data.csv')
for i in df['status']:
if i >= 30:
sns.distplot((df['status']),bins=10);
plt.show()
this is what I get output enter image description here, but how do I specify the range.
I am new for data visualization.
Thanks in advance
python matplotlib seaborn
add a comment |
I have data set like
date Status
1/8/2018 30+
1/8/2018 20
16/10/2017 31+
1/2/2018 31+
4/7/2018 31+
... 10
3/6/2018 31+
... ....
I want to Create a vintage curve of 31+. how do I draw the curve?
I tried to like this, I know its right way to plot
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
df = pd.read_csv('sample_data.csv')
for i in df['status']:
if i >= 30:
sns.distplot((df['status']),bins=10);
plt.show()
this is what I get output enter image description here, but how do I specify the range.
I am new for data visualization.
Thanks in advance
python matplotlib seaborn
I have data set like
date Status
1/8/2018 30+
1/8/2018 20
16/10/2017 31+
1/2/2018 31+
4/7/2018 31+
... 10
3/6/2018 31+
... ....
I want to Create a vintage curve of 31+. how do I draw the curve?
I tried to like this, I know its right way to plot
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
df = pd.read_csv('sample_data.csv')
for i in df['status']:
if i >= 30:
sns.distplot((df['status']),bins=10);
plt.show()
this is what I get output enter image description here, but how do I specify the range.
I am new for data visualization.
Thanks in advance
python matplotlib seaborn
python matplotlib seaborn
edited Mar 9 at 14:36
Raj
asked Mar 9 at 8:54
RajRaj
85
85
add a comment |
add a comment |
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